1 citations · 2 across the 7 of their papers we have counts for
7 papers
Enhancing Histopathological Image Classification via Integrated HOG and Deep Features with Robust Noise Performance
Ifeanyi Ezuma, Ugochukwu Ugwu
The era of digital pathology has advanced histopathological examinations, making automated image analysis essential in clinical practice. This study evaluates the classification pe…
Optimizing Sparse Generalized Singular Vectors for Feature Selection in Proximal Support Vector Machines with Application to Breast and Ovarian Cancer Detection
Ugochukwu O. Ugwu, Michael Kirby
This paper presents approaches to compute sparse solutions of Generalized Singular Value Problem (GSVP). The GSVP is regularized by -norm and -penalty for ,…
TRIPs-Py: Techniques for Regularization of Inverse Problems in Python
Mirjeta Pasha, Silvia Gazzola, Connor Sanderford +1
In this paper, we describe TRIPs-Py, a new Python package of linear discrete inverse problems solvers and test problems. The goal of the package is two-fold: 1) to provide tools fo…
Fast randomized algorithms for computing the generalized tensor SVD based on the tubal product
Salman Ahmadi-Asl, Ugochukwu Ugwu
This work deals with developing two fast randomized algorithms for computing the generalized tensor singular value decomposition (GTSVD) based on the tubal product (t-product). The…
Tensor regularization by truncated iteration: a comparison of some solution methods for large-scale linear discrete ill-posed problem with a t-product
Ugochukwu O. Ugwu, Lothar Reichel
This paper describes and compares some structure preserving techniques for the solution of linear discrete ill-posed problems with the t-product. A new randomized tensor singular v…
Tensor Arnoldi-Tikhonov and GMRES-type methods for ill-posed problems with a t-product structure
Lothar Reichel, Ugochukwu O. Ugwu
This paper describes solution methods for linear discrete ill-posed problems defined by third order tensors and the t-product formalism introduced in [M. E. Kilmer and C. D. Martin…
Weighted tensor Golub-Kahan-Tikhonov-type methods applied to image processing using a t-product
Lothar Reichel, Ugochukwu O Ugwu
This paper discusses weighted tensor Golub-Kahan-type bidiagonalization processes using the t-product. This product was introduced in [M. E. Kilmer and C. D. Martin, Factorization…